Yanbing Ma

46 total papers · 1.1k total citations
33 papers, 879 citations indexed

About

Yanbing Ma is a scholar working on Immunology, Epidemiology and Physiology. According to data from OpenAlex, Yanbing Ma has authored 33 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 10 papers in Epidemiology and 7 papers in Physiology. Recurrent topics in Yanbing Ma's work include Immunotherapy and Immune Responses (8 papers), Asthma and respiratory diseases (7 papers) and IL-33, ST2, and ILC Pathways (7 papers). Yanbing Ma is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Asthma and respiratory diseases (7 papers) and IL-33, ST2, and ILC Pathways (7 papers). Yanbing Ma collaborates with scholars based in China, Canada and Singapore. Yanbing Ma's co-authors include Zhikang Peng, Qingdong Guan, Carolyn R. Weiss, Çharles N. Bernstein, Cunbao Liu, Yang Li, Weiwei Huang, Aiping Bai, Wenjia Sun and Xu Yang and has published in prestigious journals such as ACS Nano, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

In The Last Decade

Yanbing Ma

33 papers receiving 871 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yanbing Ma 362 331 138 138 126 33 879
Nikki J. Wagner 162 0.4× 226 0.7× 207 1.5× 102 0.7× 140 1.1× 26 771
Takashi Suematsu 287 0.8× 419 1.3× 49 0.4× 153 1.1× 99 0.8× 28 984
Alain Vercellone 412 1.1× 393 1.2× 299 2.2× 48 0.3× 103 0.8× 25 982
Sara Scutera 260 0.7× 271 0.8× 118 0.9× 64 0.5× 46 0.4× 45 926
Ida De Fino 99 0.3× 404 1.2× 100 0.7× 118 0.9× 61 0.5× 31 763
Sandra Santos‐Sierra 248 0.7× 274 0.8× 101 0.7× 113 0.8× 258 2.0× 30 760
Stephanie M. Rangel 152 0.4× 221 0.7× 70 0.5× 86 0.6× 81 0.6× 46 1.0k
A F Esser 679 1.9× 374 1.1× 111 0.8× 32 0.2× 102 0.8× 28 1.1k
Katrin Reppe 256 0.7× 503 1.5× 364 2.6× 68 0.5× 44 0.3× 32 1.1k
M Muhly 359 1.0× 348 1.1× 93 0.7× 36 0.3× 121 1.0× 16 925

Countries citing papers authored by Yanbing Ma

Since Specialization
Citations

This map shows the geographic impact of Yanbing Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yanbing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanbing Ma more than expected).

Fields of papers citing papers by Yanbing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanbing Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yanbing Ma. The network helps show where Yanbing Ma may publish in the future.

Co-authorship network of co-authors of Yanbing Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yanbing Ma. A scholar is included among the top collaborators of Yanbing Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yanbing Ma. Yanbing Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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